Pin lightning.qubit dep to v0.31.0

.github/CHANGELOG.md

@@ -6,6 +6,12 @@
  [(#127)] (https://github.com/PennyLaneAI/pennylane-lightning-gpu/pull/127)
 
 ### Breaking changes
+
+ * Rename `QubitStateVector` to `StatePrep` in the `LightningGPU` class.
+ [#134] (https://github.com/PennyLaneAI/pennylane-lightning-gpu/pull/134)
+
+* Remove support for Python 3.8.
+  [(#135)](https://github.com/PennyLaneAI/pennylane-lightning-gpu/pull/135)
 
 ### Improvements
 
@@ -15,6 +21,10 @@
 ### Documentation
 
 ### Bug fixes
+
+* Pin `lightning.qubit` build version to v0.31.0 due to new package architecture.
+  [(#135)](https://github.com/PennyLaneAI/pennylane-lightning-gpu/pull/135)
+
 * `apply` no longer mutates the inputted list of operations and 
  add the missing `_dp` to the LightningGPU class with single GPU backend.
  [(#133)] (https://github.com/PennyLaneAI/pennylane-lightning-gpu/pull/133)

.github/workflows/build_wheel_manylinux2014.yml

@@ -1,7 +1,7 @@
 name: Wheel::Linux::x86_64
 
 # **What it does**: Builds python wheels for Linux (ubuntu-latest) architecture x86_64 and store it as artifacts.
-#                   Python versions: 3.8, 3.9, 3.10, 3.11.
+#                   Python versions: 3.9, 3.10, 3.11.
 # **Why we have it**: To build wheels for pennylane-lightning-gpu installation.
 # **Who does it impact**: Wheels to be uploaded to PyPI.
 
@@ -27,7 +27,7 @@ jobs:
         os: [ubuntu-latest]
         arch: [x86_64]
         cibw_build: ${{ fromJson(needs.set_wheel_build_matrix.outputs.python_version) }}
-    name: ${{ matrix.os }} (Python ${{ fromJson('{"cp38-*":"3.8","cp39-*":"3.9","cp310-*":"3.10","cp311-*":"3.11" }')[matrix.cibw_build] }})
+    name: ${{ matrix.os }} (Python ${{ fromJson('{"cp39-*":"3.9","cp310-*":"3.10","cp311-*":"3.11" }')[matrix.cibw_build] }})
     runs-on: ${{ matrix.os }}
 
     steps:
@@ -42,7 +42,7 @@ jobs:
       - name: Setup Python
         uses: actions/setup-python@v4
         with:
-          python-version: '3.8'
+          python-version: '3.9'
 
       - name: Install cibuildwheel
         run: python -m pip install cibuildwheel~=2.11.0
@@ -56,7 +56,7 @@ jobs:
 
           CIBW_SKIP: "*-musllinux*"
 
-          CIBW_CONFIG_SETTINGS: --global-option=build_ext --global-option=--define="CMAKE_CXX_COMPILER=$(which g++-11);CMAKE_C_COMPILER=$(which gcc-11);LIGHTNING_RELEASE_TAG=master"
+          CIBW_CONFIG_SETTINGS: --global-option=build_ext --global-option=--define="CMAKE_CXX_COMPILER=$(which g++-11);CMAKE_C_COMPILER=$(which gcc-11);LIGHTNING_RELEASE_TAG=v0.31.0"
 
           # Python build settings
           CIBW_BEFORE_BUILD: |

.github/workflows/format.yml

@@ -17,7 +17,7 @@ jobs:
       - uses: actions/setup-python@v4
         name: Install Python
         with:
-          python-version: '3.8'
+          python-version: '3.9'
 
       - name: Install dependencies
         run:

.github/workflows/tests_linux_x86.yml

@@ -69,7 +69,7 @@ jobs:
         id: setup_python
         name: Install Python
         with:
-          python-version: '3.8'
+          python-version: '3.9'
 
       # Since the self-hosted runner can be re-used. It is best to set up all package
       # installations in a virtual environment that gets cleaned at the end of each workflow run
@@ -138,7 +138,7 @@ jobs:
               -DCMAKE_BUILD_TYPE=RelWithDebInfo \
               -DPLLGPU_BUILD_TESTS=ON \
               -DCMAKE_CXX_COMPILER="$(which g++-${{ env.GCC_VERSION }})" \
-              -DLIGHTNING_RELEASE_TAG="master" \
+              -DLIGHTNING_RELEASE_TAG="v0.31.0" \
               -DCMAKE_CUDA_COMPILER="/usr/local/cuda/bin/nvcc" \
               -DCMAKE_CUDA_ARCHITECTURES="86" \
               -DPython_EXECUTABLE:FILE="${{ steps.python_path.outputs.python }}" \
@@ -162,7 +162,7 @@ jobs:
               -DPLLGPU_BUILD_TESTS=ON \
               -DPLLGPU_ENABLE_COVERAGE=ON \
               -DCMAKE_CXX_COMPILER="$(which g++-${{ env.GCC_VERSION }})" \
-              -DLIGHTNING_RELEASE_TAG="master" \
+              -DLIGHTNING_RELEASE_TAG="v0.31.0" \
               -DCMAKE_CUDA_COMPILER="/usr/local/cuda/bin/nvcc" \
               -DCMAKE_CUDA_ARCHITECTURES="86" \
               -DPython_EXECUTABLE:FILE="${{ steps.python_path.outputs.python }}" \
@@ -215,7 +215,7 @@ jobs:
         id: setup_python
         name: Install Python
         with:
-          python-version: '3.8'
+          python-version: '3.9'
 
       # Since the self-hosted runner can be re-used. It is best to set up all package
       # installations in a virtual environment that gets cleaned at the end of each workflow run
@@ -259,13 +259,13 @@ jobs:
           python -m pip install pip~=22.0
           python -m pip install ninja cmake custatevec-cu11 pytest pytest-mock flaky pytest-cov
           # Sync with latest master branches
-          python -m pip install --index-url https://test.pypi.org/simple/ pennylane-lightning --pre --force-reinstall --no-deps
+          python -m pip install --index-url https://test.pypi.org/simple/ pennylane-lightning==0.32.0.dev5 --pre --force-reinstall --no-deps
 
       - name: Build and install package
         env: 
           CUQUANTUM_SDK: $(python -c "import site; print( f'{site.getsitepackages()[0]}/cuquantum/lib')")
         run: |
-          python setup.py build_ext -i --define="CMAKE_CXX_COMPILER=$(which g++-${{ env.GCC_VERSION }});LIGHTNING_RELEASE_TAG=master;CMAKE_CUDA_COMPILER=/usr/local/cuda/bin/nvcc;CMAKE_CUDA_ARCHITECTURES=${{ env.CI_CUDA_ARCH }};Python_EXECUTABLE=${{ steps.python_path.outputs.python }}"
+          python setup.py build_ext -i --define="CMAKE_CXX_COMPILER=$(which g++-${{ env.GCC_VERSION }});LIGHTNING_RELEASE_TAG=v0.31.0;CMAKE_CUDA_COMPILER=/usr/local/cuda/bin/nvcc;CMAKE_CUDA_ARCHITECTURES=${{ env.CI_CUDA_ARCH }};Python_EXECUTABLE=${{ steps.python_path.outputs.python }}"
           python -m pip install -e . --verbose
 
       - name: Run PennyLane-Lightning-GPU unit tests

.github/workflows/tests_linux_x86_mpich.yml

@@ -55,7 +55,7 @@ jobs:
         id: setup_python
         name: Install Python
         with:
-          python-version: '3.8'
+          python-version: '3.9'
 
       # Since the self-hosted runner can be re-used. It is best to set up all package
       # installations in a virtual environment that gets cleaned at the end of each workflow run
@@ -136,7 +136,7 @@ jobs:
               -DCMAKE_BUILD_TYPE=RelWithDebInfo \
               -DPLLGPU_BUILD_TESTS=ON \
               -DCMAKE_CXX_COMPILER="$(which g++-${{ env.GCC_VERSION }})" \
-              -DLIGHTNING_RELEASE_TAG="master" \
+              -DLIGHTNING_RELEASE_TAG="v0.31.0" \
               -DCMAKE_CUDA_COMPILER="/usr/local/cuda/bin/nvcc" \
               -DCMAKE_CUDA_ARCHITECTURES="86" \
               -DPython_EXECUTABLE:FILE="${{ steps.python_path.outputs.python }}" \
@@ -168,7 +168,7 @@ jobs:
               -DPLLGPU_BUILD_TESTS=ON \
               -DPLLGPU_ENABLE_COVERAGE=ON \
               -DCMAKE_CXX_COMPILER="$(which g++-${{ env.GCC_VERSION }})" \
-              -DLIGHTNING_RELEASE_TAG="master" \
+              -DLIGHTNING_RELEASE_TAG="v0.31.0" \
               -DCMAKE_CUDA_COMPILER="/usr/local/cuda/bin/nvcc" \
               -DCMAKE_CUDA_ARCHITECTURES="86" \
               -DPython_EXECUTABLE:FILE="${{ steps.python_path.outputs.python }}" \
@@ -225,7 +225,7 @@ jobs:
         id: setup_python
         name: Install Python
         with:
-          python-version: '3.8'
+          python-version: '3.9'
 
       # Since the self-hosted runner can be re-used. It is best to set up all package
       # installations in a virtual environment that gets cleaned at the end of each workflow run
@@ -275,13 +275,13 @@ jobs:
           python -m pip install pip~=22.0
           python -m pip install ninja cmake custatevec-cu11 pytest pytest-mock flaky pytest-cov mpi4py
           # Sync with latest master branches
-          python -m pip install --index-url https://test.pypi.org/simple/ pennylane-lightning --pre --force-reinstall --no-deps
+          python -m pip install --index-url https://test.pypi.org/simple/ pennylane-lightning==0.32.0.dev5 --pre --force-reinstall --no-deps
 
       - name: Build and install package (MPICH backend)
         env: 
           CUQUANTUM_SDK: $(python -c "import site; print( f'{site.getsitepackages()[0]}/cuquantum/lib')")
         run: |
-          python setup.py build_ext -i --define="CMAKE_CXX_COMPILER=$(which g++-${{ env.GCC_VERSION }});CMAKE_PREFIX_PATH=/opt/mpi/mpich;PLLGPU_ENABLE_MPI=On;LIGHTNING_RELEASE_TAG=master;CMAKE_CUDA_COMPILER=/usr/local/cuda/bin/nvcc;CMAKE_CUDA_ARCHITECTURES=${{ env.CI_CUDA_ARCH }};Python_EXECUTABLE=${{ steps.python_path.outputs.python }}"
+          python setup.py build_ext -i --define="CMAKE_CXX_COMPILER=$(which g++-${{ env.GCC_VERSION }});CMAKE_PREFIX_PATH=/opt/mpi/mpich;PLLGPU_ENABLE_MPI=On;LIGHTNING_RELEASE_TAG=v0.31.0;CMAKE_CUDA_COMPILER=/usr/local/cuda/bin/nvcc;CMAKE_CUDA_ARCHITECTURES=${{ env.CI_CUDA_ARCH }};Python_EXECUTABLE=${{ steps.python_path.outputs.python }}"
           python -m pip install -e . --verbose
 
       - name: Run PennyLane-Lightning-GPU unit tests (MPICH backend)

.github/workflows/tests_linux_x86_openmpi.yml

@@ -38,7 +38,7 @@ jobs:
         id: setup_python
         name: Install Python
         with:
-          python-version: '3.8'
+          python-version: '3.9'
 
       # Since the self-hosted runner can be re-used. It is best to set up all package
       # installations in a virtual environment that gets cleaned at the end of each workflow run
@@ -115,7 +115,7 @@ jobs:
               -DCMAKE_BUILD_TYPE=RelWithDebInfo \
               -DPLLGPU_BUILD_TESTS=ON \
               -DCMAKE_CXX_COMPILER="$(which g++-${{ env.GCC_VERSION }})" \
-              -DLIGHTNING_RELEASE_TAG="master" \
+              -DLIGHTNING_RELEASE_TAG="v0.31.0" \
               -DCMAKE_CUDA_COMPILER="/usr/local/cuda/bin/nvcc" \
               -DCMAKE_CUDA_ARCHITECTURES="86" \
               -DPython_EXECUTABLE:FILE="${{ steps.python_path.outputs.python }}" \
@@ -147,7 +147,7 @@ jobs:
               -DPLLGPU_BUILD_TESTS=ON \
               -DPLLGPU_ENABLE_COVERAGE=ON \
               -DCMAKE_CXX_COMPILER="$(which g++-${{ env.GCC_VERSION }})" \
-              -DLIGHTNING_RELEASE_TAG="master" \
+              -DLIGHTNING_RELEASE_TAG="v0.31.0" \
               -DCMAKE_CUDA_COMPILER="/usr/local/cuda/bin/nvcc" \
               -DCMAKE_CUDA_ARCHITECTURES="86" \
               -DPython_EXECUTABLE:FILE="${{ steps.python_path.outputs.python }}" \
@@ -197,7 +197,7 @@ jobs:
         id: setup_python
         name: Install Python
         with:
-          python-version: '3.8'
+          python-version: '3.9'
 
       # Since the self-hosted runner can be re-used. It is best to set up all package
       # installations in a virtual environment that gets cleaned at the end of each workflow run
@@ -247,13 +247,13 @@ jobs:
           python -m pip install pip~=22.0
           python -m pip install ninja cmake custatevec-cu11 pytest pytest-mock flaky pytest-cov mpi4py
           # Sync with latest master branches
-          python -m pip install --index-url https://test.pypi.org/simple/ pennylane-lightning --pre --force-reinstall --no-deps
+          python -m pip install --index-url https://test.pypi.org/simple/ pennylane-lightning==0.32.0.dev5 --pre --force-reinstall --no-deps
 
       - name: Build and install package (OpenMPI backend)
         env: 
           CUQUANTUM_SDK: $(python -c "import site; print( f'{site.getsitepackages()[0]}/cuquantum/lib')")
         run: |
-          python setup.py build_ext -i --define="CMAKE_CXX_COMPILER=$(which g++-${{ env.GCC_VERSION }});CMAKE_PREFIX_PATH=/opt/mpi/openmpi;PLLGPU_ENABLE_MPI=On;LIGHTNING_RELEASE_TAG=master;CMAKE_CUDA_COMPILER=/usr/local/cuda/bin/nvcc;CMAKE_CUDA_ARCHITECTURES=${{ env.CI_CUDA_ARCH }};Python_EXECUTABLE=${{ steps.python_path.outputs.python }}"
+          python setup.py build_ext -i --define="CMAKE_CXX_COMPILER=$(which g++-${{ env.GCC_VERSION }});CMAKE_PREFIX_PATH=/opt/mpi/openmpi;PLLGPU_ENABLE_MPI=On;LIGHTNING_RELEASE_TAG=v0.31.0;CMAKE_CUDA_COMPILER=/usr/local/cuda/bin/nvcc;CMAKE_CUDA_ARCHITECTURES=${{ env.CI_CUDA_ARCH }};Python_EXECUTABLE=${{ steps.python_path.outputs.python }}"
           python -m pip install -e . --verbose
 
       - name: Run PennyLane-Lightning-GPU unit tests (OpenMPI backend)

.readthedocs.yml

@@ -15,7 +15,7 @@ python:
 build:
   os: ubuntu-20.04
   tools:
-    python: "3.8"
+    python: "3.9"
   apt_packages:
     - cmake
     - build-essential

CMakeLists.txt

@@ -99,7 +99,7 @@ FetchContent_MakeAvailable(pybind11)
 
 # Add PennyLane-Lightning
 if (NOT DEFINED LIGHTNING_RELEASE_TAG)
-  set(LIGHTNING_RELEASE_TAG "latest_release")
+  set(LIGHTNING_RELEASE_TAG "v0.31.0")
 endif()
 
 # Disable non-required lengthy build-steps from PennyLane Lightning

Makefile

@@ -30,7 +30,7 @@ ifndef CUQUANTUM_SDK
 	@test $(CUQUANTUM_SDK)
 endif
 ifndef PYTHON3
-	@echo "To install PennyLane-Lightning-GPU you must have Python 3.8+ installed."
+	@echo "To install PennyLane-Lightning-GPU you must have Python 3.9+ installed."
 endif
 	$(PYTHON) setup.py build_ext --cuquantum=$(CUQUANTUM_SDK) --verbose
 	$(PYTHON) setup.py install

README.rst

@@ -37,7 +37,7 @@ Features
 Installation
 ============
 
-PennyLane-Lightning-GPU requires Python version 3.8 and above. It can be installed using ``pip``:
+PennyLane-Lightning-GPU requires Python version 3.9 and above. It can be installed using ``pip``:
 
 .. code-block:: console
 
@@ -82,7 +82,7 @@ To build using Docker, run the following from the project root directory:
 
     docker build . -f ./docker/Dockerfile -t "lightning-gpu-wheels"
 
-This will build a Python wheel for Python 3.8 up to 3.11 inclusive, and be manylinux2014 (glibc 2.17) compatible.
+This will build a Python wheel for Python 3.9 up to 3.11 inclusive, and be manylinux2014 (glibc 2.17) compatible.
 To acquire the built wheels, use:
 
 .. code-block:: console

doc/devices.rst

@@ -46,7 +46,7 @@ Supported operations and observables
     ~pennylane.PauliZ
     ~pennylane.PhaseShift
     ~pennylane.ControlledPhaseShift
-    ~pennylane.QubitStateVector
+    ~pennylane.StatePrep
     ~pennylane.Rot
     ~pennylane.RX
     ~pennylane.RY

mpitests/test_adjoint_jacobian.py

@@ -188,7 +188,7 @@ def test_pauli_rotation_gradient(self, G, theta, tol, isBatch_obs, request):
         dev_cpu = qml.device("default.qubit", wires=3)
 
         with qml.tape.QuantumTape() as tape:
-            qml.QubitStateVector(np.array([1.0, -1.0]) / np.sqrt(2), wires=0)
+            qml.StatePrep(np.array([1.0, -1.0]) / np.sqrt(2), wires=0)
             G(theta, wires=[0])
             qml.expval(qml.PauliZ(0))
 
@@ -218,7 +218,7 @@ def test_Rot_gradient(self, theta, tol, isBatch_obs, request):
         params = np.array([theta, theta**3, np.sqrt(2) * theta])
 
         with qml.tape.QuantumTape() as tape:
-            qml.QubitStateVector(np.array([1.0, -1.0]) / np.sqrt(2), wires=0)
+            qml.StatePrep(np.array([1.0, -1.0]) / np.sqrt(2), wires=0)
             qml.Rot(*params, wires=[0])
             qml.expval(qml.PauliZ(0))
 
@@ -760,7 +760,7 @@ def circuit_2(params, wires):
 
 def circuit_ansatz(params, wires):
     """Circuit ansatz containing all the parametrized gates"""
-    qml.QubitStateVector(unitary_group.rvs(2**6, random_state=0)[0], wires=wires)
+    qml.StatePrep(unitary_group.rvs(2**6, random_state=0)[0], wires=wires)
     qml.RX(params[0], wires=wires[0])
     qml.RY(params[1], wires=wires[1])
     qml.adjoint(qml.RX(params[2], wires=wires[2]))

mpitests/test_apply.py

@@ -72,7 +72,7 @@ def apply_operation_gates_qnode_param(tol, operation, par, Wires):
     )
 
     def circuit(*params):
-        qml.QubitStateVector(state_vector, wires=range(num_wires))
+        qml.StatePrep(state_vector, wires=range(num_wires))
         operation(*params, wires=Wires)
         return qml.state()
 
@@ -105,7 +105,7 @@ def apply_operation_gates_apply_param(tol, operation, par, Wires):
 
     @qml.qnode(dev_cpu)
     def circuit(*params):
-        qml.QubitStateVector(state_vector, wires=range(num_wires))
+        qml.StatePrep(state_vector, wires=range(num_wires))
         operation(*params, wires=Wires)
         return qml.state()
 
@@ -153,7 +153,7 @@ def apply_operation_gates_qnode_nonparam(tol, operation, Wires):
     )
 
     def circuit():
-        qml.QubitStateVector(state_vector, wires=range(num_wires))
+        qml.StatePrep(state_vector, wires=range(num_wires))
         operation(wires=Wires)
         return qml.state()
 
@@ -186,7 +186,7 @@ def apply_operation_gates_apply_nonparam(tol, operation, Wires):
 
     @qml.qnode(dev_cpu)
     def circuit():
-        qml.QubitStateVector(state_vector, wires=range(num_wires))
+        qml.StatePrep(state_vector, wires=range(num_wires))
         operation(wires=Wires)
         return qml.state()
 
@@ -225,7 +225,7 @@ def expval_single_wire_no_param(tol, obs):
     dev_gpumpi = qml.device("lightning.gpu", wires=num_wires, mpi=True, c_dtype=np.complex128)
 
     def circuit():
-        qml.QubitStateVector(state_vector, wires=range(num_wires))
+        qml.StatePrep(state_vector, wires=range(num_wires))
         return qml.expval(obs)
 
     cpu_qnode = qml.QNode(circuit, dev_cpu)
@@ -252,7 +252,7 @@ def apply_probs_nonparam(tol, operation, GateWires, Wires):
     dev_gpumpi = qml.device("lightning.gpu", wires=num_wires, mpi=True, c_dtype=np.complex128)
 
     def circuit():
-        qml.QubitStateVector(state_vector, wires=range(num_wires))
+        qml.StatePrep(state_vector, wires=range(num_wires))
         operation(wires=GateWires)
         return qml.probs(wires=Wires)
 
@@ -292,7 +292,7 @@ def apply_probs_param(tol, operation, par, GateWires, Wires):
     dev_gpumpi = qml.device("lightning.gpu", wires=num_wires, mpi=True, c_dtype=np.complex128)
 
     def circuit():
-        qml.QubitStateVector(state_vector, wires=range(num_wires))
+        qml.StatePrep(state_vector, wires=range(num_wires))
         operation(*par, wires=GateWires)
         return qml.probs(wires=Wires)
 
@@ -501,7 +501,7 @@ def test_qubit_state_prep(self, tol, par, Wires):
         dev_gpumpi = qml.device("lightning.gpu", wires=num_wires, mpi=True, c_dtype=np.complex128)
 
         def circuit():
-            qml.QubitStateVector(par, wires=Wires)
+            qml.StatePrep(par, wires=Wires)
             return qml.state()
 
         cpu_qnode = qml.QNode(circuit, dev_cpu)
@@ -1152,7 +1152,7 @@ def test_prob_four_wire_param(self, tol, operation, par, GateWires, Wires):
 
 def circuit_ansatz(params, wires):
     """Circuit ansatz containing all the parametrized gates"""
-    qml.QubitStateVector(unitary_group.rvs(2**numQubits, random_state=0)[0], wires=wires)
+    qml.StatePrep(unitary_group.rvs(2**numQubits, random_state=0)[0], wires=wires)
     qml.RX(params[0], wires=wires[0])
     qml.RY(params[1], wires=wires[1])
     qml.adjoint(qml.RX(params[2], wires=wires[2]))